The DF/HCC Program in Biostatistics and Computational Biology fosters a broad range of research into statistical, computational and mathematical questions that arise in cancer investigations. Its members are engaged in trans-disciplinary and inter-programmatic projects across population, clinical and basic cancer research. Biostatistics has been a Program since the formation of DF/HCC and was rated as outstanding at the time ofthe last CCSG renewal. The name ofthe Program was changed to Biostatistics and Computational Biology in 2010, with the support ofthe EAB, in order to recognize the strong contribution of computational biologists. This Program is led by G. Parmigiani and R. Betensky and has 45 members from all member institutions. Members are affiliated with two departments at HSPH (Biostatistics and Epidemiology) and six departments at HMS (Biological Chemistry and Molecular Pharmacology, Population Medicine, Medicine, Health Care Policy, Pediatrics and Radiation Oncology). The Program has two Specific Aims: 1) to develop and disseminate new tools in statistical science and computational biology that respond to emerging areas of cancer research;and 2) to develop software for the implementation of these tools. The Biostatistics and Computational Biology Program continues to be highly successful in securing external funding. In 2009, peer-reviewed grant funding attributed to the Program was $14.4 million in total costs, of which nearly $7 million was from NCI (49%) and $7.4 million was from other peer-reviewed sponsors. Attesting to the productivity and interactivity ofthe Program are the 1,666 publications authored by members during the project period, of which 4.2% were intra-programmatic, 44% were inter-programmatic and 33% were inter-institutional collaborations.
The DF/HCC Program in Biostatistics and Computational Biology fosters research into the mathematical, computational, and statistical questions that arise in cancer research. It supports methodological as well as inter-disciplinary and inter-programmatic research across population, clinical and basic cancer research.
|Tapela, Neo M; Peluso, Michael J; Kohler, Racquel E et al. (2018) A Step Toward Timely Referral and Early Diagnosis of Cancer: Implementation and Impact on Knowledge of a Primary Care-Based Training Program in Botswana. Front Oncol 8:187|
|Roemer, Margaretha G M; Redd, Robert A; Cader, Fathima Zumla et al. (2018) Major Histocompatibility Complex Class II and Programmed Death Ligand 1 Expression Predict Outcome After Programmed Death 1 Blockade in Classic Hodgkin Lymphoma. J Clin Oncol 36:942-950|
|Francini, Edoardo; Gray, Kathryn P; Xie, Wanling et al. (2018) Time of metastatic disease presentation and volume of disease are prognostic for metastatic hormone sensitive prostate cancer (mHSPC). Prostate 78:889-895|
|Hu, Yanhui; Vinayagam, Arunachalam; Nand, Ankita et al. (2018) Molecular Interaction Search Tool (MIST): an integrated resource for mining gene and protein interaction data. Nucleic Acids Res 46:D567-D574|
|Mohr, Stephanie E; Rudd, Kirstin; Hu, Yanhui et al. (2018) Zinc Detoxification: A Functional Genomics and Transcriptomics Analysis in Drosophila melanogaster Cultured Cells. G3 (Bethesda) 8:631-641|
|Odiaka, Emeka; Lounsbury, David W; Jalloh, Mohamed et al. (2018) Effective Project Management of a Pan-African Cancer Research Network: Men of African Descent and Carcinoma of the Prostate (MADCaP). J Glob Oncol :1-12|
|Mills, Evanna L; Pierce, Kerry A; Jedrychowski, Mark P et al. (2018) Accumulation of succinate controls activation of adipose tissue thermogenesis. Nature 560:102-106|
|Oser, Matthew G; Fonseca, Raquel; Chakraborty, Abhishek A et al. (2018) Cells Lacking the RB1 Tumor Suppressor Gene are Hyperdependent on Aurora B Kinase for Survival. Cancer Discov :|
|Choudhury, Atish D; Gray, Kathryn P; Supko, Jeffrey G et al. (2018) A dose finding clinical trial of cabozantinib (XL184) administered in combination with abiraterone acetate in metastatic castration-resistant prostate cancer. Prostate :|
|Watson, Noreen L; Mull, Kristin E; Heffner, Jaimee L et al. (2018) Participant Recruitment and Retention in Remote eHealth Intervention Trials: Methods and Lessons Learned From a Large Randomized Controlled Trial of Two Web-Based Smoking Interventions. J Med Internet Res 20:e10351|
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